Summary
Objective To understand barriers to tuberculosis (TB) care among migrant TB patients in Shanghai after the introduction of the TB‐free treatment policy which has applied to migrants since 2003, and to provide policy recommendations to improve TB control in migrant populations in big cities.
Methods In‐depth interviews were conducted with 34 migrant patients who registered on the Shanghai TB programme as new bacteria positive pulmonary TB cases. Patients were purposively selected across six districts of Shanghai to give a balance of gender and TB treatment phase.
Results Financial constraints were reported as the biggest barriers to TB service among migrant patients. Many migrant patients experienced high medical costs both before and after their TB diagnosis. The government free treatment policy only covered a small fraction of patients’ total costs. However, respondents tended to stay in Shanghai for treatment because their families were in Shanghai, they were more confident with the quality of medical care there or they felt they could not earn cash at home. Migrant patients had a limited knowledge of TB and the free TB treatment policy, and reported being laid off from work or avoided after having TB.
Conclusions Health system problems caused the biggest barrier to migrant patients’ access to TB care. The free treatment policy alone has little, if any, effect in reducing migrant patients’ financial stress: it is also essential to provide social welfare, including living subsidies, for poor migrant TB patients.
Recent evidence has shown that entrants into self-employment are disproportionately drawn from the tails of the earnings and ability distributions. This observation is explained by a multi-task model of occupational choice in which frictions in the labor market induces mismatches between firms and workers, and mis-assignment of workers to tasks. The model also yields distinctive predictions relating prior work histories to earnings and to the probability of entry into self-employment. These predictions are tested with the Korean Labor and Income Panel Study, from which we find considerable support for the model. JEL Classification Codes: J24, L26.
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